GPT-5.2 (Xhigh) · Terminal-Bench Hard ↗
OpenAI / MODEL EVIDENCE
GPT-5.2
77 benchmarks · 140 observations · 67 sources · released 2025-12-11
Scores at a glance
77 benchmarks · large dot: GPT-5.2; small dots: closest models where reported
GPT 5.2 · MMLU Pro · Accuracy ↗
2 more reported results
87.36% · GPT-5.2 (Xhigh) · MMLU-Pro · AA implementation · Artificial Analysis ↗
87.4 · GPT5.2 · MMLU-Pro · Qwen report · Qwen3.5 technical model card · language ↗
GPT 5.2 · LiveCodeBench · Accuracy ↗
2 more reported results
89.42% · GPT-5.2 (Medium) · LiveCodeBench · AA implementation · Artificial Analysis ↗
87.7 · GPT5.2 · LiveCodeBench v6 · Qwen report · Qwen3.5 technical model card · language ↗
GPT-5.2 (Xhigh) · AIME 2025 ↗
GPT-5.2 (Medium) · Global-MMLU-Lite ↗
GPT5.2 · IFEval · Qwen report ↗
GPT5.2 · IFBench · Qwen report ↗
GPT5.2 · AA-LCR · Qwen report ↗
GPT5.2 · LongBench v2 · Qwen report ↗
GPT5.2 · HLE · no tools · Qwen report ↗
2 more reported results
45.5 · GPT5.2 · HLE w/ tool · Qwen report · Qwen3.5 technical model card · language ↗
27.8% · GPT-5.2 (unknown thinking) · HLE · Accuracy · % · Epoch AI · HLE ↗
GPT5.2 · IMOAnswerBench · Qwen report ↗
GPT5.2 · AIME26 · Qwen report ↗
GPT5.2 · BFCL-V4 · Qwen report ↗
GPT5.2 · MCP-Mark · original release · Qwen report ↗
GPT5.2 · WideSearch · Qwen report ↗
GPT-5.2 (high) · SWE-Bench verified · Best score (across scorers) · % ↗
2 more reported results
75.8 % · GPT 5.2 (Mini-SWE-agent) · SWE-bench Verified · Score · Vals AI · SWE-bench Verified ↗
80.0 · GPT5.2 · SWE-bench Verified · Qwen report · Qwen3.5 technical model card · language ↗
GPT5.2 · SWE-bench Multilingual · Qwen report ↗
GPT5.2 · Terminal Bench 2 · Qwen report ↗
6 more reported results
64.94% · GPT-5.2 (unknown thinking) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗
62.92% · GPT-5.2 (unknown thinking) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗
60.67% · GPT-5.2 (unknown thinking) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗
54.04% · GPT-5.2 (unknown thinking) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗
64.9% · GPT-5.2 (medium) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗
62.9% · GPT-5.2 (medium) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗
GPT5.2 · MMMU · Qwen report ↗
GPT 5.2 · MMMU Pro · Accuracy ↗
1 more reported result
79.5 · GPT5.2 · MMMU-Pro · Qwen report · Qwen3.5 technical model card · vision ↗
GPT5.2 · MathVision · Qwen report ↗
GPT5.2 · Mathvista(mini) · Qwen report ↗
GPT5.2 · ZEROBench · Qwen report ↗
GPT5.2 · CharXiv(RQ) · Qwen report ↗
GPT5.2 · OCRBench · Qwen report ↗
GPT5.2 · VideoMME(w sub.) · Qwen report ↗
1 more reported result
85.8 · GPT5.2 · VideoMME(w/o sub.) · Qwen report · Qwen3.5 technical model card · vision ↗
GPT5.2 · LVBench · Qwen report ↗
GPT5.2 · OSWorld-Verified · Qwen report ↗
GPT 5.2 · GPQA Diamond · Accuracy ↗
4 more reported results
91.4% · GPT-5.2 (xhigh) · GPQA diamond · Best score (across scorers) · % · Epoch AI · GPQA diamond ↗
88.19% · GPT-5.2 (high) · GPQA diamond · Best score (across scorers) · % · Epoch AI · GPQA diamond ↗
87.88% · GPT-5.2 (medium) · GPQA diamond · Best score (across scorers) · % · Epoch AI · GPQA diamond ↗
82.7% · GPT-5.2 (low) · GPQA diamond · Best score (across scorers) · % · Epoch AI · GPQA diamond ↗
GPT-5.2 (xhigh) · FrontierMath-2025-02-28-Private · Best score (across scorers) · % ↗
3 more reported results
40.34% · GPT-5.2 (high) · FrontierMath-2025-02-28-Private · Best score (across scorers) · % · Epoch AI · FrontierMath-2025-02-28-Private ↗
36.9% · GPT-5.2 (medium) · FrontierMath-2025-02-28-Private · Best score (across scorers) · % · Epoch AI · FrontierMath-2025-02-28-Private ↗
26.55% · GPT-5.2 (low) · FrontierMath-2025-02-28-Private · Best score (across scorers) · % · Epoch AI · FrontierMath-2025-02-28-Private ↗
GPT-5.2 (xhigh) · FrontierMath-Tier-4-2025-07-01-Private · Best score (across scorers) · % ↗
3 more reported results
18.8% · GPT-5.2 (high) · FrontierMath-Tier-4-2025-07-01-Private · Best score (across scorers) · % · Epoch AI · FrontierMath-Tier-4-2025-07-01-Private ↗
16.7% · GPT-5.2 (medium) · FrontierMath-Tier-4-2025-07-01-Private · Best score (across scorers) · % · Epoch AI · FrontierMath-Tier-4-2025-07-01-Private ↗
6.25% · GPT-5.2 (low) · FrontierMath-Tier-4-2025-07-01-Private · Best score (across scorers) · % · Epoch AI · FrontierMath-Tier-4-2025-07-01-Private ↗
GPT-5.2 (xhigh) · FrontierMath-Tiers-1-3-v2-Private · Best score (across scorers) · % ↗
GPT-5.2 (xhigh) · FrontierMath-Tier-4-v2-Private · Best score (across scorers) · % ↗
GPT-5.2 (high) · OTIS Mock AIME 2024-2025 · Best score (across scorers) · % ↗
3 more reported results
96.1% · GPT-5.2 (xhigh) · OTIS Mock AIME 2024-2025 · Best score (across scorers) · % · Epoch AI · OTIS Mock AIME 2024-2025 ↗
93.89% · GPT-5.2 (medium) · OTIS Mock AIME 2024-2025 · Best score (across scorers) · % · Epoch AI · OTIS Mock AIME 2024-2025 ↗
78.89% · GPT-5.2 (low) · OTIS Mock AIME 2024-2025 · Best score (across scorers) · % · Epoch AI · OTIS Mock AIME 2024-2025 ↗
GPT-5.2 (xhigh) · SimpleQA Verified · Best score (across scorers) · % ↗
3 more reported results
34.3% · GPT-5.2 (high) · SimpleQA Verified · Best score (across scorers) · % · Epoch AI · SimpleQA Verified ↗
32.8% · GPT-5.2 (low) · SimpleQA Verified · Best score (across scorers) · % · Epoch AI · SimpleQA Verified ↗
32.7% · GPT-5.2 (medium) · SimpleQA Verified · Best score (across scorers) · % · Epoch AI · SimpleQA Verified ↗
GPT-5.2 (xhigh) · Chess Puzzles · Best score (across scorers) · % ↗
3 more reported results
45% · GPT-5.2 (high) · Chess Puzzles · Best score (across scorers) · % · Epoch AI · Chess Puzzles ↗
36% · GPT-5.2 (medium) · Chess Puzzles · Best score (across scorers) · % · Epoch AI · Chess Puzzles ↗
26% · GPT-5.2 (low) · Chess Puzzles · Best score (across scorers) · % · Epoch AI · Chess Puzzles ↗
GPT-5.2 (xhigh) · EBR-bench · Best score (across scorers) · % ↗
GPT-5.2 (high) · Mystery Game Puzzles · Best score (across scorers) · % ↗
2 more reported results
22% · GPT-5.2 (medium) · Mystery Game Puzzles · Best score (across scorers) · % · Epoch AI · Mystery Game Puzzles ↗
10% · GPT-5.2 (low) · Mystery Game Puzzles · Best score (across scorers) · % · Epoch AI · Mystery Game Puzzles ↗
GPT-5.2 (xhigh) · ARC-AGI · Score · % ↗
5 more reported results
86.17% · GPT-5.2 (xhigh) · ARC-AGI · Score · % · Epoch AI · ARC-AGI ↗
78.67% · GPT-5.2 (high) · ARC-AGI · Score · % · Epoch AI · ARC-AGI ↗
12.33% · GPT-5.2 (unknown thinking) · ARC-AGI · Score · % · Epoch AI · ARC-AGI ↗
72.67% · GPT-5.2 (medium) · ARC-AGI · Score · % · Epoch AI · ARC-AGI ↗
55.67% · GPT-5.2 (low) · ARC-AGI · Score · % · Epoch AI · ARC-AGI ↗
GPT-5.2 (low) · DeepResearch Bench · Average score · % ↗
GPT-5.2 (high) · GSO-Bench · Score OPT@1 · % ↗
GPT-5.2 (high) · SimpleBench · Score (AVG@5) · % ↗
1 more reported result
45.8% · GPT-5.2 (unknown thinking) · SimpleBench · Score (AVG@5) · % · Epoch AI · SimpleBench ↗
GPT-5.2 (xhigh) · VPCT · Correct · % ↗
1 more reported result
67% · GPT-5.2 (high) · VPCT · Correct · % · Epoch AI · VPCT ↗
GPT-5.2 (xhigh) · WeirdML · Accuracy · % ↗
2 more reported results
63.44% · GPT-5.2 (medium) · WeirdML · Accuracy · % · Epoch AI · WeirdML ↗
49.6% · GPT-5.2 (low) · WeirdML · Accuracy · % · Epoch AI · WeirdML ↗
GPT-5.2 (xhigh) · ARC-AGI-2 · Score · % ↗
4 more reported results
43.33% · GPT-5.2 (high) · ARC-AGI-2 · Score · % · Epoch AI · ARC-AGI-2 ↗
26.67% · GPT-5.2 (medium) · ARC-AGI-2 · Score · % · Epoch AI · ARC-AGI-2 ↗
9.72% · GPT-5.2 (low) · ARC-AGI-2 · Score · % · Epoch AI · ARC-AGI-2 ↗
0.83% · GPT-5.2 (unknown thinking) · ARC-AGI-2 · Score · % · Epoch AI · ARC-AGI-2 ↗
GPT-5.2 (medium) · Remote Labor Index · Score · % ↗
1 more reported result
2.08% · GPT-5.2 (unknown thinking) · Remote Labor Index · Score · % · Epoch AI · Remote Labor Index ↗
GPT-5.2 (unknown thinking) · CL-bench · Overall · % ↗
1 more reported result
18.1% · GPT-5.2 (high) · CL-bench · Overall · % · Epoch AI · CL-bench ↗
GPT-5.2 (high) · METR task performance & time horizons · Average task accuracy ↗
1 more reported result
352.2493 minutes · GPT-5.2 (high) · METR task performance & time horizons · 50% success task horizon · METR-Horizon-v1.1 · Epoch AI · METR Autonomy / Task-Horizon Suite · public result data ↗
GPT-5.2 (xhigh) · ProofBench · Accuracy · % ↗
GPT-5.2 (xhigh) · LMCA · Score · % ↗
GPT-5.2 (xhigh) · DTBench · Accuracy · % ↗
GPT-5.2 (xhigh) · Furniture Assembly · Best score (across scorers) · % ↗
GPT-5.2 (unknown thinking) · WebDev Arena · Elo ↗
2 more reported results
1480 Elo · GPT-5.2 (high) · WebDev Arena · Elo · Epoch AI · WebDev Arena ↗
1394 Elo · GPT-5.2 (medium) · WebDev Arena · Elo · Epoch AI · WebDev Arena ↗
GPT-5.2 (unknown thinking) · EnigmaEval · Accuracy · % ↗
GPT-5.2 (xhigh) · WeirdML v3 · Max performance · % ↗
GPT-5.2 · General ECI · 26 October 2026 fit ↗
GPT 5.2 (xhigh) · Compression · reference-anchored score ↗
3 more reported results
0.31 reference score · GPT 5.2 (xhigh) · LM training · reference-anchored score · Vals RSI Index · LM training ↗
0.04 reference score · GPT 5.2 (xhigh) · Harness engineering · reference-anchored score · Vals RSI Index · Harness engineering ↗
0.00 reference score · GPT 5.2 (xhigh) · Post-training · reference-anchored score · Vals RSI Index · Post-training ↗
GPT 5.2 · LegalBench · Accuracy ↗
GPT 5.2 · CaseLaw · Accuracy ↗
GPT 5.2 · CorpFin · Accuracy ↗
GPT 5.2 · MortgageTax · Accuracy ↗
1 more reported result
75.76 % · GPT 5.2 · TaxEval · Accuracy · Vals AI · TaxEval ↗
GPT 5.2 · MedCode · Accuracy ↗
GPT 5.2 · MedScribe · Accuracy ↗
GPT 5.2 · MedQA · Accuracy ↗
GPT 5.2 · AIME · Accuracy ↗
GPT 5.2 · MGSM · Accuracy ↗
GPT 5.2 · SAGE · Accuracy ↗
GPT 5.2 (OpenHands) · Vibe Code Bench · original task set ↗
GPT 5.2 · Poker Agent · TrueSkill Rating ↗
GPT-5.2 (Codex) xhigh · DrugDiscoveryBench · Score ↗
gpt-5.2 (xhigh) · Scale Labs · Score ↗
GPT-5.2 · OmniDocBench · Overall parsing score · end-to-end evaluation ↗
GPT-5.2 (high) · TasteVal · Experimental compute multiplier · October 2026 paper comparison ↗
1 more reported result
0.7 × · GPT-5.2 (high) · TasteVal · Normalized final-performance multiplier · October 2026 paper comparison · TasteVal: Measuring the Experimental Research Taste of AI Systems Against Human Experts ↗
gpt-5.2 · EconBench · EconBench prototype · risk-consistency error · published prototype observations ↗
GPT-5.2 · NYU CTF Bench · Cotool 81-challenge subset · accuracy ↗
GPT-5.2 (high) · Harmonic-mean speedup ↗
GPT-5.2 · End-of-year balance ↗
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
20 of 27 shared benchmark comparisons
19 of 27 shared benchmark comparisons
21 of 27 shared benchmark comparisons
How similarity is measured
Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.
Reports featuring this model
Sources
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
- ARC Prize - Leaderboard ↗
- Arena leaderboard — WebDev evaluation ↗
- AIME 2025 Benchmark | Artificial Analysis ↗
- Global-MMLU-Lite Benchmark | Artificial Analysis ↗
- LiveCodeBench Benchmark | Artificial Analysis ↗
- MMLU-Pro Benchmark | Artificial Analysis ↗
- Terminal-Bench Hard Benchmark | Artificial Analysis ↗
- TasteVal: Measuring the Experimental Research Taste of AI Systems Against Human Experts — published result table ↗
- DTBench — Conceptual Reasoning Index ↗
- LMCA — Conceptual Reasoning Index ↗
- EconBench: Economic choice by language models — gpt-5.2 prototype metrics ↗
- Algotune — methodology and published results ↗
- ARC-AGI-1 ↗
- ARC-AGI-2 ↗
- Chess Puzzles ↗
- CL-bench ↗
- Earthborne Rangers (EBR-bench) ↗
- FrontierMath Tier 4 (v1, old) ↗
- FrontierMath Tier 4 (v2) ↗
- FrontierMath Tiers 1-3 (v1, old) ↗
- FrontierMath Tiers 1-3 (v2) ↗
- Furniture Assembly Benchmark ↗
- GPQA Diamond ↗
- Humanity's Last Exam ↗
- METR Time Horizons ↗
- Mystery Game Puzzles ↗
- OTIS Mock AIME 2024-2025 ↗
- Remote Labor Index ↗
- SimpleQA Verified ↗
- SimpleBench ↗
- SWE-bench Verified ↗
- Terminal-Bench 2.0 ↗
- Capabilities & benchmarking — retained external evaluation records ↗
- Vending Bench 2 — methodology and published results ↗
- Text Arena (Coding) ↗
- AI benchmarks & capabilities ↗
- FutureSearch Evals ↗
- GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents ↗
- WeirdML ↗
- Qwen/Qwen3.5-397B-A17B · Hugging Face ↗
- DrugDiscoveryBench — evaluation methodology and results ↗
- EnigmaEval ↗
- Scale Labs — evaluation methodology and results ↗
- Metr Autonomy Task Horizon Suite — methodology and published results ↗
- OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations — published result table ↗
All 20 authors
Linke Ouyang, Yuan Qu, Hongbin Zhou, Jiawei Zhu, Rui Zhang, Qunshu Lin, Bin Wang, Zhiyuan Zhao, Man Jiang, Xiaomeng Zhao, Jin Shi, Fan Wu, Pei Chu, Minghao Liu, Zhenxiang Li, Chao Xu, Bo Zhang, Botian Shi, Zhongying Tu, Conghui He
- NYU CTF Bench — Cotool evaluation, February 2026 ↗
- Terminal-Bench 2.0 leaderboard ↗
- AIME — evaluation methodology and results ↗
- CaseLaw — evaluation methodology and results ↗
- CorpFin — evaluation methodology and results ↗
- GPQA Diamond — evaluation methodology and results ↗
- LiveCodeBench — evaluation methodology and results ↗
- LegalBench — evaluation methodology and results ↗
- MedCode — evaluation methodology and results ↗
- MedQA — evaluation methodology and results ↗
- MedScribe — evaluation methodology and results ↗
- MGSM — evaluation methodology and results ↗
- MMLU Pro — evaluation methodology and results ↗
- MMMU Pro — evaluation methodology and results ↗
- MortgageTax — evaluation methodology and results ↗
- Poker Agent — evaluation methodology and results ↗
- ProofBench — evaluation methodology and results ↗
- Vals RSI Index — evaluation methodology and results ↗
- SAGE — evaluation methodology and results ↗
- SWE-bench Verified — evaluation methodology and results ↗
- TaxEval — evaluation methodology and results ↗
- Vibe Code Bench — evaluation methodology and results ↗
Names used in source tables
GPT 5.2 · GPT 5.2 (Mini-SWE-agent) · GPT 5.2 (OpenHands) · GPT 5.2 (xhigh) · GPT-5.2 · GPT-5.2 (Codex) xhigh · GPT-5.2 (Medium) · GPT-5.2 (Xhigh) · GPT-5.2 (high) · GPT-5.2 (low) · GPT-5.2 (medium) · GPT-5.2 (unknown thinking) · GPT-5.2 (xhigh) · GPT5.2 · gpt-5.2 · gpt-5.2 (xhigh)